IndicBARTSS_Kannada_FineTune
This model is a fine-tuned version of ai4bharat/IndicBARTSS on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1158
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1202 | 1.0 | 2674 | 0.1208 |
| 0.1196 | 2.0 | 5348 | 0.1175 |
| 0.1147 | 3.0 | 8022 | 0.1158 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Base model
ai4bharat/IndicBARTSS